Application of Sensors and Instrumentation in Precision Agriculture

Precision agriculture is a modern farming method that maximizes agricultural productivity and resource efficiency by utilizing state-of-the-art technologies. Using sensors and instrumentation systems that allow for real-time monitoring and data-driven decision-making throughout different stages of crop production is essential to this approach. Application of several sensor technologies, including temperature, nutrient, and soil moisture sensors, in conjunction with remote sensing instruments like satellites and drones, to gather vital agronomic and environmental data. By integrating these sensing devices with wireless communication networks, GPS, GIS, site-specific field management is made possible, which lowers input costs and improves sustainability. Additionally, predictive modelling and automated farming operation control are made possible by the convergence of data analytics and the internet of things IoT, significantly enhancing precision agriculture's potential. This paper highlights the potential of sensor-based systems in transforming contemporary agriculture and promoting long-term food security and environmental stewardship by analysing current trends, technological developments, implementation problems, and future opportunities.

Authors

Institutions

Publication Details

Journal
Journal of Scientific Research and Reports
Published
2025-08-18
DOI
https://doi.org/10.9734/jsrr/2025/v31i83425
Primary Topic
Smart Agriculture and AI
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Application of Sensors and Instrumentation in Precision Agriculture

Anshu Kumari, Mohan Kumar Sinha, Deepak Thorat, Ramesh K. Sahni et al.
Journal of Scientific Research and Reports
Smart Agriculture and AI
article

Application of Sensors and Instrumentation in Precision Agriculture

Anshu Kumari, Mohan Kumar Sinha, Deepak Thorat, Ramesh K. Sahni, Sanjay Kumar, Mahendra Sharma, Satya Prakash Kumar, Savita Soni, Chetan Yumnam, Khushbu Kumari, Rajesh Yadav
article en

Abstract

Precision agriculture is a modern farming method that maximizes agricultural productivity and resource efficiency by utilizing state-of-the-art technologies. Using sensors and instrumentation systems that allow for real-time monitoring and data-driven decision-making throughout different stages of crop production is essential to this approach. Application of several sensor technologies, including temperature, nutrient, and soil moisture sensors, in conjunction with remote sensing instruments like satellites and drones, to gather vital agronomic and environmental data. By integrating these sensing devices with wireless communication networks, GPS, GIS, site-specific field management is made possible, which lowers input costs and improves sustainability. Additionally, predictive modelling and automated farming operation control are made possible by the convergence of data analytics and the internet of things IoT, significantly enhancing precision agriculture's potential. This paper highlights the potential of sensor-based systems in transforming contemporary agriculture and promoting long-term food security and environmental stewardship by analysing current trends, technological developments, implementation problems, and future opportunities.

Journal of Scientific Research and ReportsVol. 31(8)
Central Institute of Agricultural Engineering (IN), Indian Institute of Technology Kharagpur (IN), Bihar Agricultural University (IN), Maulana Azad National Institute of Technology (IN)
Openalex Percentile: Top 84%
Smart Agriculture and AI
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.